Investigating perceptual qualities of static surface appearance using real materials and displayed images

Recent experimental evidence supports the idea that human observers are good at recognizing and categorizing materials. Fleming et al. reported that perceptual qualities and material classes are closely related using projected images (Journal of Vision 13(8) (2013) 9). In this paper, we further investigated their findings using real materials and degraded image versions of the same materials. We constructed a real material dataset, as well as four image datasets by varying chromaticity (color vs. gray) and resolution (high vs. low) of the material images. To investigate the fundamental properties of materials' static surface appearance, we used stimuli that lacked shape and saturated color information. We then investigated the relationship between these perceptual qualities and the various types of image representation through psychophysical experiments. Our results showed that the representation method of some materials affected their perceptual qualities. These cases could be classified into the following three types: (1) perceptual qualities decreased by reproducing the materials as images, (2) perceptual qualities decreased by creating gray images, and (3) perceptual qualities such as "Hardness" and "Coldness" tended to increase when the materials were reproduced as low-quality images. Through methods such as principal component analysis and k-means clustering, we found that material categories are more likely to be confused when materials are represented as images, especially gray images.